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    Landsat 5 thematic mapper models of soybean and corn crop characteristics

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    Date
    1994
    Author
    Thenkabail, P.
    Ward, A.D.
    Lyon, J.
    Type
    Journal Article
    Metadata
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    Abstract/Description
    This study used Landsat-5 Thematic Mapper (TM) data to develop empirical models for determining soybean and corn crop yield, leaf area index, wet biomass, dry biomass and plant height. Ground-truth data was obtained from more than 50 commercial farms in Ohio, USA, during 1988 and 1989. Several significant linear, non-linear, logarithmic, exponential, and power models were developed. The best soybean models generally comprised of information from the commonly-used bands 3 and 4. TM data for the most significant soybean models explained 69 to 76 per cent of the between field variability in wet biomass, dry biomass, and plant height, 63 per cent of the variability in leaf area index, and 35 per cent of the variability in yield. The best corn models incorporated band 5 and/or band 7 along with band 4. The most significant corn models explained 80 per cent of the variability in wet biomass, 66 to 67 per cent of the variability in dry biomass, plant height, and leaf area index, and 52 per cent of the variability in yield. A new cubed ratio vegetation index, (TM4/TM5)3, was found to be particularly useful for modelling corn characteristics.
    https://doi.org/10.1080/01431169408954050
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/5589
    Digital Object Identifier (DOI)
    https://doi.org/10.1080/01431169408954050
    IITA Subjects
    Research Method; Plant Production; Soybean; Food Security
    Agrovoc Terms
    Data; Yields; Soybeans
    Regions
    Africa; Acp; West Africa; North America
    Countries
    Nigeria; United States
    Collections
    • Journal and Journal Articles4835
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